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groundnut rust
相关语句
  花生锈病
     THE APPLICATION OF WEIBULL MODEL TO GROUNDNUT RUST FORECASTING
     Weibull模型在花生锈病流行预测中的应用
短句来源
     STUDIES ON THE SYSTEMIC FUNGICIDAL ACTIVITIES OF SODIUM SULFANITATE FOR THE CONTROL OF GROUNDNUT RUST (Puccinia arachidis Speg. ) AND THE REDUCTION OF ITS TOXICITY TO HOST PLANT (Arachis hypogaea Linn. )
     敌锈钠(对氨基苯磺酸钠)的研究——Ⅳ.对氨基苯磺酸钠防治花生锈病(Puccinia arachidis Spcg.)的内吸性及其对寄主(Arachis hypogaea Linn)毒害的消除
短句来源
     Eight wild Arachis accessions, 6 from section Erectoides and 2 from section Arachis, were evaluated under laboratory conditions for their reactions to groundnut rust (Puccinia arachidis Speg. )
     本文利用离体叶砂基培养法,在实验室条件下系统研究了花生属中6个拟直立型组野生种、2个花生组野生种(副对照)和1个栽培品种(对照)对花生锈病、褐斑病和黑斑病的抗性反应.
短句来源
     COMPUTER SIMULATION OF GROUNDNUT RUST: STRUCTURE AND VALIDATION OF CSGR-1
     花生锈病流行电算模拟模型CSGR—1的结构和检验
短句来源
     The parameters, a . b . c, of Weibull equation were calculated by using data of development of groundnut rust accurring in many years.
     利用花生锈病多年的病害系统调查数据,拟合Weibull方程,计算参数a、b、c。
短句来源
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  相似匹配句对
     STUDY ON DISEASE PROGRESS CURVES OF GROUNDNUT RUST
     花生锈病流行曲线分析
短句来源
     THE APPLICATION OF WEIBULL MODEL TO GROUNDNUT RUST FORECASTING
     Weibull模型在花生锈病流行预测中的应用
短句来源
     The Rust Fungi of Altay
     阿勒泰的锈菌
短句来源
     ON KETELEERIA NEEDLE RUST
     油杉叶锈研究
短句来源
     STUDIES ON PHOTOSYNTHESIS IS GROUNDNUT
     花生光合作用特性的研究
短句来源
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  groundnut rust
mahogani and five limonoids from Khaya senegalensis were tested for antifungal activity against the groundnut rust Puccinia arachidis.
      
A water soluble glucan purified from the culture filtrate of Acremonium obclavatum, an antagonist to the groundnut rust, Puccinia arachidis, inhibited germination of uredospores of P.
      
Of these, only five characters, namely, height of the main stem, length of apical leaflet on the main stem, length of isthmus between pods, width of seed, and reaction to groundnut rust, accounted for more than 61.4% of the total variation.
      
Thus, J71300 should be applicable for marker-assisted selection (MAS) in the groundnut rust resistance breeding programme in India.
      
Groundnut rust (Puccinia arachidis Speg.) is an important air borne pathogen, which causes substantial losses in groundnut yield and quality.
      
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A multiple regression equation for a long-term forecasting of groundnut rust (Puccinia arachldls Speg. ) was derived based on historical disease data mainly of Guangdong-oil 551 and Guangdong-oil 551-116 cultivars and climatic corditions in both Zhanjiang city and Dianbai county, Guangdong province in South China. The equation indicates a significant relation of the last reading of disease severity to the average temperatures(℃), average relative humidity (%) of a ten-day period , and daily average rainfalls...

A multiple regression equation for a long-term forecasting of groundnut rust (Puccinia arachldls Speg. ) was derived based on historical disease data mainly of Guangdong-oil 551 and Guangdong-oil 551-116 cultivars and climatic corditions in both Zhanjiang city and Dianbai county, Guangdong province in South China. The equation indicates a significant relation of the last reading of disease severity to the average temperatures(℃), average relative humidity (%) of a ten-day period , and daily average rainfalls (mm) from(a) the last ten-day of April to that of May in case of spring crop and (b)the second tenday of September to that of October in case of fall crop.

本研究分析了广东省湛江市和电白县花生锈病最终病情严重度和气象因子的回归关系,结果表明:4月下旬至5月下旬的旬平均气温X_1,旬平均相对湿度X_2和日平均降雨量X_3,对春花生的锈病最终病情严重度Y有显著影响,9月中旬至10月中旬的相应气象因子影响秋花生的锈病最终病情严重度(α=0.005)。这些因素与病情有如下关系: Y=(-2.70884×10~(-7)expX_1+2266970.51lnX_2+5.516×10~(3)expX_3-9501060.363)(1/3)

It was shown by applying different models(Logistic,Gompertz andWeibull)to data obtained by field disease investigation that the Weibullmodel describes disease progress of groundnut rust (Puccinia arachidisSpeg.)the best,and the Gompertz the next best with residual sum ofsquares,Q,and the coefficient of determination,R~2,as criterion.Withequations of disease progress,calculations were made of the expectationvalues of days for disease to reach the incidences and severities of 0.5,5,10,20,30,40,50,60,70,80...

It was shown by applying different models(Logistic,Gompertz andWeibull)to data obtained by field disease investigation that the Weibullmodel describes disease progress of groundnut rust (Puccinia arachidisSpeg.)the best,and the Gompertz the next best with residual sum ofsquares,Q,and the coefficient of determination,R~2,as criterion.Withequations of disease progress,calculations were made of the expectationvalues of days for disease to reach the incidences and severities of 0.5,5,10,20,30,40,50,60,70,80 and 90%,and disease increase rateswere also calculated at the same points.The results showed that thedisease occured earlier in fall crop than in spring crop,but developedfaster in spring crop.It was also demonstrated that Weibull andGompertz models could reflected the practical disease progess nearlyequally well,however,the Logistic model over-estimated when thedisease incidences and severities were 0.05 or 0.6.All these results,especially those obtained with the Weibull and Gompertz models,canbe applied to disease forecasting. The deceptive highness of the coefficient of determination,R~2,inthe case of nonlinear equations when linearized is discussed and asuggestion is thus made of using nonlinear residual sum of squares,Q,as a criterion for comparing the descriptions of different equationsinstead.

利用描述病害发展的数学模型Logistic、Gompertz和Weibull函数对花生锈病(Puccinia arachidis Speg.)的系统调查数据拟配方程。结果表明,花生锈病发展的曲线描述以Weibull函数最好,Gompertz函数次之,Logistic函数又次之。利用所组配的方程及其导函数方程,计算了花生锈病流行期间病叶率和严重度达0.5,5,10,20,30,40,50,60,70,80,90%的期望天数和期望发展速率。结果表明,播种后锈病的发生在秋花生中较春花生为早,其发展速率则在春花生中发展较快。这些参数也表明,Gompertz和Weibull函数所得的结果较接近,而Logistic函数在病情小于0.05和大于0.6时,有偏高现象。文中所计算的各给定点的期望天数和期望增长速率,可供一般测报工作作为参考。本文就锈病发展过程的曲线拟合,讨论了非线性模型经线性化后其可决系数R~2的虚假增高现象,从而提出,在进行模型拟合程度的比较时,应用非线性剩余平方Q和作为比较标准更为合理。

The parameters, a . b . c, of Weibull equation were calculated by using data of development of groundnut rust accurring in many years. Stepwise multiple regression analysis showed that the location parameter a and the scale parameter b can be calculated by the number of days for disease to reach at 0.5, 1, 5, 10% and the time intervals of two points among these ones. The shape parameter c can be calculated by the data (time and disease) of the four points and parameters a and b with the weibull equation....

The parameters, a . b . c, of Weibull equation were calculated by using data of development of groundnut rust accurring in many years. Stepwise multiple regression analysis showed that the location parameter a and the scale parameter b can be calculated by the number of days for disease to reach at 0.5, 1, 5, 10% and the time intervals of two points among these ones. The shape parameter c can be calculated by the data (time and disease) of the four points and parameters a and b with the weibull equation. According to parameters a, b and c, disease development can be calculated with Weibull model and, if continuing on making investigation of disease development , we can use more data to estimate the parameter c and thus make the forecasting more accurate.

利用花生锈病多年的病害系统调查数据,拟合Weibull方程,计算参数a、b、c。多元回归分析表明,花生锈病流行曲线的Weibull方程的位置参数a和标度参数b可以通过在病害流行初期病情达0.5,1,5,10%的时间或其两点间的时间间距求得,而形状参数c也可以通过上述四点和所求得的a,b参数联合求得。 利用所得的a、b、c参数可按Weibull方程对病害流行全过程预测,若在流行期间持续调查病情,重新估计c值,可提高预测准确度。利用1983年春花生两套数据对本法进行检验。在各210次检验中,平均准确度为89和84%。

 
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